Epi4Ab：数据驱动的特异性抗体VH/VL家族和cdr序列构象表位预测模型。

IF 7.3 2区医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL

mAbs Pub Date : 2025-12-01 Epub Date: 2025-07-10 DOI:10.1080/19420862.2025.2531227

Nhan Dinh Tran, Krithika Subramani, Chinh Tran-To Su

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引用次数: 0

摘要

抗体通过互补和结构依赖的机制识别抗原。因此，包含抗体输入对于准确的表位预测至关重要。鉴于抗体-抗原复合物结构的有限可用性，任何表位预测模型都需要最少但足够的抗体输入来确保精确的表位识别。为了满足这一需求，我们引入了Epi4Ab，这是一种抗体特异性表位预测模型，专注于识别特定抗体的独特接触抗原残基。Epi4Ab需要最少的抗体输入，特别是VH/VL家族和互补决定区域序列。

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Epi4Ab: a data-driven prediction model of conformational epitopes for specific antibody VH/VL families and CDRs sequences.

Antibodies recognize antigens via complementary and structurally dependent mechanisms. Therefore, inclusion of antibody inputs is crucial for accurate epitope prediction. Given the limited availability of antibody-antigen complex structures, any epitope prediction model will require minimal yet sufficient antibody inputs to ensure precise epitope identification. To address this need, we introduce Epi4Ab, an antibody-specific epitope prediction model that focuses on identifying unique in-contact antigen residues for a given antibody. Epi4Ab requires minimal antibody inputs, specifically VH/VL families and complementarity-determining region sequences.

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来源期刊

mAbs 工程技术-仪器仪表

CiteScore

10.70

自引率

11.30%

发文量

审稿时长

6-12 weeks

期刊介绍： mAbs is a multi-disciplinary journal dedicated to the art and science of antibody research and development. The journal has a strong scientific and medical focus, but also strives to serve a broader readership. The articles are thus of interest to scientists, clinical researchers, and physicians, as well as the wider mAb community, including our readers involved in technology transfer, legal issues, investment, strategic planning and the regulation of therapeutics.